sminchev

And because they use AI heavily, they produce new product every week. So fast, that I have no time to check, does it worth or not.

This one looks interesting. I have some custom commands that I execute manually weekly, for monitoring, audits, summary, reports. It it can send reports on email, or generate something that I can read in the morning with my coffee, or after I finish with it ;) it might be a good tool.

The question is, do I really want to so much productive? I am already much better in performance with AI, compared with the 'old school' way...

Everything is just getting to much for me.

Helping people enhance is a good thing!

Unfortunately, it does not make sense for the representatives to invest millions of infrastructure, just because of a single event happened. :(

Like the whole market is flooded with the same thing, just with different skin

In some cases, AI can even be better than a usual developer. In my case, I don't know Kotlin, but I am a software developer, and my expertise was amplified in good direction, and I have a product that without AI it was not possible to do so fast, by myself. Just takes too much time and effort. What I can add here is that 'prompting' and 'stubbornness' are really important. To never give up, to disagree with the AI suggestions, to force it think for alternatives, over and over again, to the level where you feel satisfied. The will to search for the best possible solution!

It was not mentioned in the article, but a good framework that follows "AI Agentic Agile Methodology", and specification driven development is BMAD. Really helpful for brainstorming sessions. A lot of things that I have not known about and I have not thought about at all, were suggested and, consequently, added to the specification.

And in some cases, AI can be a pure evil, and amplifies in the bad direction. It happened to me with the 'marketing' phase. It just failed. I guess it is also connected with the model, but I am not sure here. If a model is good for software development, is it good for marketing strategies?

It is expensive, I know. I mean, it takes a lot of tokens and the $20 is just not enough, but the price worth it, in my opinion. I did it with my project.

I tried, Gemini, GLM, Sonnet, and each of them has it strengths for specific things, but for initial architecture - Opus and BMAd

Real challenge to keep it working 24/7. The Android OS, and its modifications are really aggressive, trying to kill everything that runs more than they think it is allowed to.

I made a whole article about it. I hope it will help others: https://dev.to/stoyan_minchev/i-spent-several-months-buildin...

Especially now, in the AI era, where each person can make a relatively working app from the sofa, without any knowledge of UI/UX principles.

Usually, this is the beginning of everything, before you write any code. You make this for other people, you need to know what other people need and look for.

Talk to people, make interviews, do analysis of the results, see what's missing...

I searched for your product in Google Play but could not find it. I wanted to have a look and give honest opinion.

It is simple. I can understand what is what on first glance, and this is very important. You don't know what to do? Start a challenge! :)

Really loved it. What I would suggest is to make it more international and to support specific things for different countries, cultures, but whatever you do, continue to keep it fresh and simple :)

You can check some of the already available solutions and try to improve yours, by adding more convenient functionalities :)

What I usually do is analysis: SWOT: Strength, Weaknesses, Opportunities, Threats. In other words, why am I in position of doing it better, why other can do it better, is there an opportunity that only I see, are there threats from other places, like other industries, government, etc.

I search for a problem to solve. You need a problem that you clearly see that people are struggling. That is why experience at some area is very important. For example, working in the kitchen at a restaurant, you will see more problems and inconveniences, than me who only have ideas. Working on that place, you know the people personally, you have your PERSONAS, you first testers!

Once you have a problem, once you have a good analysis of what's possible, where you are in the market, then comes the real requirements gathering, and subsequent. Don't hurry, talk to people gain more information, read more books on the topic, meet people.

Being transparent and sharing your concerns with people, usually, is the best option. At least I am always opened for this approach. Something like: "I like you, looks good, but they offer me more. Here I will learn more, but I need the money for my education, and new macbook, so basically, I will invest in myself. Can we discuss the options. I don't know what to do".

This is honest, true, correct. If the people in front of you are good, respectful, in a nice team, they will answer you in the same honest way. They can say yes, they can say no, we can't afford more now, but if you do your job good, we can increase the payment. What really matters is that the situation is known and clear.

If they reject you, and make you feel bad, than this is a toxic environment, and it is good for you that you not staying there.

Being honest, direct, with the needed respect and humbleness is always the right choice, in my opinion.

Good developer will give good prompts, because knows what to ask, and what might be the problem. Good developer can read the code and point badly generated one, and learn the AI how to perform better, which style =to follow. Good developer can evaluate if the used algorithm is the proper for the task and give suggestions, if needed. Good developer can optimize token usage, by using scripts, for example.

Yes, skills in prompting, knowing about new tools and how to use them is also mandatory, but not the most important one, in my opinion.

I guess better soft/social skill are needed. Some people just can't express themselves in real world, and probably they will have difficulties expressing themselves in free texts as well

What I can add as an additional advice is that asking AI what to do does not help either. It can give good suggestions, and ideas on how to promote it, but the actual execution is a total disaster. For example, it says, show it in hacker news, but does not tell you how to do it, and because you don't know what to ask the AI, posting here just like that is a big fail. Same as Reddit, ProductHunt, BetaList, and all other other platforms.

Sometimes the AI can give really bad suggestions as well, like, pretend that you are not promoting it, but somewhere in the middle, try to add your things, so that it looks honest. PURE EVIL!

Marketing and promotion is totally different topic and the experience really matters! :)

I strongly believe that the work will drop, because less people will be needed, and the expected quality will be higher, because manual labor is expensive, but it will remain. Like in car manufacturing. You buy a car and pay for it, but there are expensive hand-made cars that you can buy, and they are highly customized, with personal attitude toward the clients. Manual software implementation can go the same direction as hand-made cars.

We had the ability to write code while eating dinner before. Now it just takes less effort. Thinking for a good prompt is easier than thinking for a good nested loop. And the whole vibe, and enthusiasm are bigger, pushing people to try something new.

If I need something to distribute or read myself, I ask for a pdf copy :)

I would propose a simple program with a few steps, it can be a console one, to draw a circle, to draw a rectangle, to draw a pink unicorn ;)

Happy, for me, I don't have such problems. My girl wants to be football player.

AI can start hallucinating, if it deals with a lot, and/or complex data ;) If I deal with so much I will start hallucinating myself :D

That was the point :)

If you can detect good basis, their skills, knowing how to use AI, will help them be more productive and give better quality

Here is the same, the moment things get too much, it start hallucinating and missing important things. It also depends on what model you are using. I read that Gemini 3 pro, which has limit of 1 million tokens can decrease its productivity to 25% getting close to its limits. Not WITH 25% but TO 25%. Becomes extremely dump.

Other models are just asking too many questions...

There are some tips and tricks that you can follow. And it is similar to how people work. Keep the tasks small, save what the model learned during the session somewhere, and re-use this knowledge in the next session, by explicitly writing to read that information, before it starts.